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Service Description: The average number of combined hot days and tropical nights in the period 1987-2016 was calculated based on the E-OBS dataset , which is agridded data with 0.25° spatial resolution, based on over 10,000 stations across Europe. The value of the nearest-distance grid point to the city centroid was used as the value for that city.
Map Name: Combined summer days (Tmax over 30° C) and tropical nights (Tmin over 20° C)
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Description: Annual number of combined summer days (maximum temperature over 30 degrees Celsius) and warm nights (minimum temperature over 20 degrees Celsius) (average from the period 1987 - 2016)
Copyright Text: E-OBS dataset is from the EU-FP6 project ENSEMBLES (http://ensembles-eu.metoffice.com), data is provided by the European Climate Assessment and Dataset (ECA&D) project (http://www.ecad.eu). Updated from Haylock, M. R., et al., 2008, ‘A European daily high-resolution gridded dataset of surface temperature and precipitation’, Journal of Geophysical Research 113, p. D20119 (DOI: doi:10.1029/2008JD10201).
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -2719117.121995825
YMin: 2993956.7673032666
XMax: 4022122.8936807807
YMax: 1.1331043589777833E7
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -2412697.121283252
YMin: 3372915.259233929
XMax: 3715702.8929682076
YMax: 1.0952085097847171E7
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Annual number of combined summer days (Tmax>30 C) and tropical nights (Tmin>20 C) per year (1987-2016 average).
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Comments: The average number of combined hot days and tropical nights in the period 1987-2016 was calculated based on the E-OBS dataset , which is agridded data with 0.25° spatial resolution, based on over 10,000 stations across Europe. The value of the nearest-distance grid point to the city centroid was used as the value for that city.
Subject: The combination of hot days and warm nights is particularly dangerous to human health, as the high temperatures during night time does not allow for the cities and buildings to cool down. Such combination, if lasting over several days (heatwaves) can have severe health implications or even be fatal to the elderly, babies or those in poor health. Therefore, the knowledge of the occurrence of such conditions in a given location can be useful in planning adaptation to the changing climate and protection of the vulnerable groups from heat.
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Keywords: temperature; heat; thermal comfort; health
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 1000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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